2021
DOI: 10.1002/mma.7793
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Fractional view of heat‐like equations via the Elzaki transform in the settings of the Mittag–Leffler function

Abstract: In this article, the Elzaki homotopy perturbation transform method (EHPTM) is profusely employed to discover the approximate solutions of fractional-order (FO) heat-like equations. To show this, we first establish the Elzaki transform in the context of the Atangana-Baleanu fractional derivative in the Caputo sense (ABC) and then extend it to heat-like equations. Our suggested approach has been reinforced by convergence and error analysis. The validity of the novel technique is tested with the aid of some illus… Show more

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Cited by 10 publications
(7 citation statements)
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“…We have the following 5th-order approximate solution in the original space for Equations (40) and (41) when ω = 1 uses the procedure mentioned in Subsection 2.1:…”
Section: Numerical Examplesmentioning
confidence: 99%
See 1 more Smart Citation
“…We have the following 5th-order approximate solution in the original space for Equations (40) and (41) when ω = 1 uses the procedure mentioned in Subsection 2.1:…”
Section: Numerical Examplesmentioning
confidence: 99%
“…These transformations are paired with additional analytical, numerical, or homotopy-based techniques to handle FODEs [30][31][32][33][34][35]. Numerous mathematicians have recently become interested in a transformation known as the Elzaki transform (ET) [36][37][38][39][40][41]. The ET was introduced by Elzaki to facilitate the process of solving ordinary and partial DEs in the time domain [42].…”
Section: Introductionmentioning
confidence: 99%
“…The ADM is a semi-analytical approach to solving linear-nonlinear FDEs by advantageously creating a functional series solution, initially presented by Adomian [48]. Later, this approach was used with numerous transformations (such as the Sumudu, Aboodh, Laplace, and Mohand transforms), as shown in [49][50][51][52][53][54][55][56][57][58].…”
Section: Introductionmentioning
confidence: 99%
“…The versatility of HPM allows it to yield approximate and exact solutions to both linear and nonlinear problems without the necessity for discretization and linearization, as with analytical methods [45]. Various studies have extensively used the HPM to analyze linear and nonlinear PDEs [46][47][48].…”
Section: Introductionmentioning
confidence: 99%